curl --request GET \
  --url https://dripstack.xyz/api/v1/publications/{publicationSlug}/{postSlug}

{
  "id": "post_xyz789",
  "publicationId": "pub_abc123",
  "publicationSlug": "stratechery",
  "guid": "https://stratechery.com/p/the-ai-infrastructure-boom",
  "slug": "the-ai-infrastructure-boom",
  "title": "The AI Infrastructure Boom",
  "subtitle": "Why hyperscalers are spending billions on GPU clusters",
  "description": "A deep dive into the capex cycle driving AI infrastructure buildout.",
  "url": "https://stratechery.com/2026/the-ai-infrastructure-boom",
  "author": "Ben Thompson",
  "imageUrl": "https://substackcdn.com/image/fetch/w_1200/ai-infra.jpg",
  "publishedAt": "2026-06-14T12:00:00Z",
  "synthesizedSummary": "Nvidia reported $26B in datacenter revenue last quarter, up 427% YoY, as hyperscalers race to build GPU clusters for AI training and inference. The article argues this capex cycle differs from past infrastructure booms because demand is driven by revenue-generating workloads (LLM inference for paying customers) rather than speculative capacity. Key risks include: (1) GPU utilization rates declining as supply catches up, (2) inference costs dropping faster than revenue grows, (3) custom silicon from Google (TPU) and Amazon (Trainium) eroding Nvidia's moat. The author remains bullish on picks-and-shovels plays through 2027.",
  "createdAt": "2026-06-14T12:05:00Z",
  "updatedAt": "2026-06-15T08:00:00Z",
  "paymentInfo": {
    "amountUsd": "0.50",
    "protocol": "x402"
  }
}